We can see data need not to replace any value but still Replacer and Preprocessing function we will create

Replacer

Preprocessing

Exploratory Data Analysis

Univariate Analysis

Pair PLot is little bit time consuming

Define X and Y

Bivariate Analysis

Preprocessing

OLS

Anova Creation

Anova Of Predictors

Anova Of Predictors For Cat vs Con

Anova Of Predictors For Cat vs Con

Anova Of Predictors For Cat vs Con

Anova Of Predictors For Cat vs Con

Anova Of Predictors For Cat vs Con

Anova Of Predictors For Cat vs Con

Anova Of Predictors For Cat vs Con

Anova Of Predictors For Cat vs Con

Anova Of Predictors For Cat vs Con

Divide Data into training and testing set

Linear Regresssion

Lasso

Ridge

Decision Tree Regressor

Random Forest Regressor

Adaboost Regressor

K Nearest Neighbors

XGBooost

Naive Bayes Alogrithm

Keras Tuner

Val_loss

Loss

Neural Network For MonthlyRate Loss and Val Loass

Now From Here Our Aim Is To Check the Attrition of Employees

Replacer

Define X and Y

Now Y ----> Attrition

Adaboost

Dtree

RfC

Artificial Neural Network

Keras Tuner

Dense Layers

Dropout Layers

xgboost Alog

Naive Bayes Alog

Logistic Regression

Clustering

Hierarichal Clustering